Dermal fibroblasts and cutaneous nerves are important players in skin diseases, while their reciprocal roles during skin inflammation have not been characterized. Here we identify an inflammation-induced subset of papillary fibroblasts that promotes aberrant neurite outgrowth and psoriasiform skin inflammation by secreting the extracellular matrix protein tenascin-C (TNC). Single-cell analysis of fibroblast lineages reveals a Tnc+ papillary fibroblast subset with pro-axonogenesis and neuro-regulation transcriptomic hallmarks. TNC overexpression in fibroblasts boosts neurite outgrowth in co-cultured neurons, while fibroblast-specific TNC ablation suppresses hyperinnervation and alleviates skin inflammation in male mice modeling psoriasis. Dermal γδT cells, the main producers of type 17 pathogenic cytokines, frequently contact nerve fibers in mouse psoriasiform lesions and are likely modulated by postsynaptic signals. Overall, our results highlight the role of an inflammation-responsive fibroblast subset in facilitating neuro-immune synapse formation and suggest potential avenues for future therapeutic research.
Dermal fibroblasts are heterogeneous in their anatomical locations and functions in skin homeostasis and diseases1,2,3. Histologically, papillary fibroblasts beneath the epidermis can be easily distinguished from reticular fibroblasts in the lower dermis, and there are special fibroblast subpopulations that support skin appendages such as dermal papillae4. In addition to anatomical distinctions, dermal fibroblasts can be further identified into functional subsets according to their biological features during skin inflammation, immunity, repair, and aging5,6,7,8,9. Mounting evidence indicates that distinct fibroblast subsets participate in skin pathophysiology as local pro-inflammatory cues through the regulation of immune cells via cytokine/chemokine secretion6,7 and the production of extracellular matrix proteins9,10. Identification of these pathogenic fibroblast subsets provides novel therapeutic avenues for multiple skin diseases, including type 2 dermatitis6, autoimmunity7, and fibrosis8. However, the heterogeneity and functions of fibroblasts in psoriasis remain unexplored.
Psoriasis is a chronic, immune-mediated skin disease with a global prevalence of 2–3%11. The most common manifestation, psoriasis vulgaris, is characterized by sharply demarcated, scaly, erythematous plaques in the skin12. The interleukin (IL)−23/IL-17 axis is pivotal in psoriasis pathogenesis13 and makes psoriasis a type 17 skin inflammation. Recently, cutaneous sensory nerves have been reported to play crucial roles in driving IL-23 production and type 17 T (T17) cell activation14. Hyperinnervation is a common feature of psoriatic lesions15,16,17, while denervation or peripheral nerve blockade ameliorates psoriasis in humans and rodents18,19. Optogenetic activation of TRPV1+ sensory nerves is sufficient to induce a type 17 inflammatory response in skin20. Besides, cutaneous nerves interact with multiple immune cells21,22, contributing to the severity and manifestation of skin lesions. With plentiful supportive studies of neuro-immune communication, little is known about the local cues that promote innervation during skin inflammation.
In this work, we take psoriasis as a model of type 17 skin inflammation and investigate the heterogeneity and potential functions of dermal fibroblast lineages in this disease which are previously uncharacterized. Aside from global skews in histology and transcriptional features, we identify an inflammation-induced papillary fibroblast subset that promotes neurite outgrowth, facilitates neuro-immune crosstalk and exacerbates psoriasiform lesions, providing further insights into stroma–neuron interactions underlying skin inflammation.
Dermal fibroblasts show altered quantity and distribution adapt to inflammation
Pdgfra is a robust marker for dermal fibroblasts and is expressed at different developmental stages3. We utilized PdgfraDreER-tdTomato mice23 to label fibroblast lineage cells in the skin (Fig. 1a). Tamoxifen-induced Dre-rox recombination resulted in efficient tdTomato labeling and over 75% of dermal fibroblast lineage cells were labeled in untreated (UT) mouse skin (Fig. 1b, c), including those in the dermal papillae, dermal sheaths, and cutaneous adipose tissue (Fig. 1d). We then applied imiquimod (IMQ)24, a Toll-like receptor 7/8 agonist, to induce psoriasiform skin inflammation in the PdgfraDreER-tdTomato mice (Fig. 1e). Luminescence imaging revealed a significant increase of tdTomato intensity in psoriasiform lesions, compared with UT skin (Fig. 1f, g), suggesting an expansion of the fibroblast lineage in response to inflammation. Densely packed cell nuclei (Fig. 1h) and intense tdTomato fluorescence appeared at the dermal-epidermal junction (DEJ) of the psoriasiform lesion (Fig. 1i), indicating altered distribution of dermal fibroblasts.
A tenascin-C+ papillary fibroblast subset emerges in inflamed skin
To understand fibroblast heterogeneity at the transcriptional level, we used single-cell RNA sequencing (scRNA-seq) to analyze CD45-tdTomato+ fibroblast lineages in UT and IMQ-induced PdgfraDreER-tdTomato mouse skin (Supplementary Fig. 1a, b). Unbiased clustering of the integrated data resulted in 16 subpopulations defined by cell source and signature genes (Fig. 2a, b and Supplementary Fig. 1c–e). Clusters identified as being composed mainly of cells from IMQ-induced skin were designated induced fibroblast (iFb) clusters, while those consisting largely of cells from UT skin were named normal fibroblast (nFb) clusters. Vascular endothelial cell (EC), lymphatic EC, myoepithelial cell, and myofibroblast clusters were named according to their distinct gene characteristics. In general, IMQ-induced fibroblasts showed upregulated expression of adipogenic (Plac8, Plin2), pro-inflammatory (Il6, Cd44), and chemotactic (Ccl2, Ccl7, Cxcl1, Cxcl12) genes (Supplementary Fig. 1f), and demonstrated a remarkable skewing towards lineages adapted to inflammation (Fig. 2b and Supplementary Fig. 1c).
The dendrogram showed that cluster 9 (iFb7), marked by Coch and Tnc (Fig. 2d), represented a distinct cluster with a unique transcriptional profile (Fig. 2c). We verified that both Coch and Tnc were significantly upregulated at the transcriptional and translational level in IMQ-induced mouse skin, compared with UT skin (Fig. 2e, f). Notably, the Tnc-encoded protein tenascin-C (TNC) was barely expressed under homeostatic conditions. However, immunostaining revealed high levels of TNC at the DEJ of IMQ-induced mouse skin (Fig. 2g), suggesting that Tnc expression was stimulus-responsive.
To understand the biological functions of the Coch+Tnc+ fibroblasts, we performed Gene Ontology (GO) pathway analysis of the co-regulated genes of this subpopulation (Supplementary Fig. 2a–c). Pathways indicating axonogenesis, regulation of nervous system development, and skin development were significantly enriched, suggesting a neuromodulation function for these fibroblasts during skin inflammation (Fig. 2h). Analysis of human scRNA-seq data (GSE150672)25 revealed a small fraction of COCH+TNC+TNN+ fibroblasts showing similar GO pathway enrichment (Supplementary Fig. 2d). TNC showed upregulated expression level in human psoriatic skin fibroblasts compared with normal fibroblasts (Supplementary Fig. 2e, f). Spatial transcriptome analysis of human skin samples showed that TNC was rarely transcribed in normal or non-lesional skin but was significantly induced at the DEJ of psoriatic lesions (Fig. 2i). In human psoriatic skin with both lesional and non-lesional regions (Supplementary Fig. 2g), TNC showed escalating staining intensity from non-lesional to lesional area (Fig. 2j). Together, these data identified a subset of TNC-secreting papillary fibroblasts located at the DEJ in psoriatic mouse and human skin and exhibiting neuroregulatory features.
Inflammation rearranges dermal fibroblast and cutaneous nerve histology
Whole-mount imaging of PdgfraDreER-tdTomato mice demonstrated a pattern of loosely arranged fibroblasts in non-lesional skin; which contrasted with the dense arrangement of fibroblasts and increased numbers of interwound nerve fibers observed in the lesional papillary dermis (Fig. 3a). Given the distinct expression pattern of TNC in the papillary dermis, we then constructed TncDreER-tdTomato mice in order to observe Tnc+ fibroblast location (Fig. 3b). Adult TncDreER-tdTomato mice were subjected to a “self-control” IMQ-induced mouse model whereby half of the back skin was treated with IMQ (lesional) and half was left untreated (non-lesional) to reduce the effect of individual differences in responses (Fig. 3c). Whole-mount images showed that Tnc+ fibroblasts were restricted to hair follicles in non-lesional skin but emerged in the papillary dermis upon IMQ stimuli (Fig. 3d). Notably, tdTomato fluorescence signals produced by Tnc+ fibroblasts were detected adjacent to βIII tubulin+ nerve fibers and CD3e+ T cells in the lesional papillary dermis (Fig. 3e).
Tnc + fibroblasts promote axonogenesis
Given the neuroregulatory transcriptional features of Tnc+ fibroblasts, we subjected Nav1.8-tdTomato peripheral sensory nerve reporter mice to the IMQ-induced psoriasis model. Comparison of lesional and non-lesional skin revealed significantly stronger tdTomato signal intensity in lesional skin, suggesting hyper-innervated histology in psoriasiform skin (Fig. 4a, b). Whole-mount imaging demonstrated hyperinnervation with anomalous bifurcation in psoriasiform lesions (Fig. 4c).
Sensory nerve blockade or denervation of nociceptors has been reported to relieve psoriasis by inhibiting IL-23/type 17 responses14,18,19, highlighting the crucial role of cutaneous nerves in skin inflammation. To investigate whether inflammation-induced TNC accounts for the aberrant neurite outgrowth in mouse psoriasiform lesions, we overexpressed full-length mouse Tnc in the fibroblast cell line NIH-3T3 (Supplementary Fig. 3a, b) and performed a dorsal root ganglia (DRG) neuron-fibroblast co-culture assay (Fig. 4d). Mouse DRG neurons co-cultured with Tnc-overexpressing (TncOE) fibroblasts exhibited denser array of neurites than those co-cultured with negative control (NC) fibroblasts (Fig. 4e, f). Skin is innervated by sensory neuron terminals, while the cell bodies are found in the trigeminal and DRG26,27. To simulate this pattern, we co-cultured DRG neurons with NC/TncOE fibroblasts in chambers where the neuron cell bodies were separated from the axon terminals (Fig. 4g). Notably, increased axon length was observed in chambers seeded with monolayers of TncOE fibroblasts rather than NC cells, indicating that TncOE fibroblasts were able to promote axonogenesis at peripheral sites in the absence of contact with neuronal somas (Fig. 4h, i).
Several integrins have been identified as TNC receptors on neuronal membranes and involved in sensory neurite outgrowth28,29,30. Among these integrins, online database (GSE131230)31 analysis revealed that α7β1 was predominately expressed by DRG nociceptors (Supplementary Fig. 4a). Besides, α7β1 subunits were significantly upregulated at the transcriptional level in IMQ-induced mouse primary DRG neurons compared with that of UT mice (Supplementary Fig. 4b), indicating they may participate in inflammation-induced neuropathy. ERK signaling is pivotal in integrin-mediated neurite outgrowth32,33. Our results showed that recombinant TNC promoted neurite outgrowth and ERK1/2 phosphorylation in a dose-dependent manner (Supplementary Fig. 4c, d). More importantly, ERK agonist butylhydroquinone (TBHQ) further promoted TNC-induced neurite anomalous bifurcation, while ERK inhibitor AZD6244 strongly suppressed neurite outgrowth in the presence of TNC (Supplementary Fig. 4e). Taken together, these results suggested that the pro-axonogenesis capacity of TNC is ERK signaling-dependent.
Injury/inflammation-induced TNC exacerbates skin inflammation
To investigate whether TNC contributes to psoriasiform skin inflammation, we generated Col1a2CreERTncfl/fl mice with specific ablation of TNC in fibroblasts and evaluated the severity of IMQ-induced skin inflammation (Supplementary Fig. 3c, d). Col1a2CreERTncfl/fl mice showed significant relief of psoriasiform skin inflammation compared with Tncfl/fl mice, as indicated by skin thickness (Fig. 5a), acanthosis (Fig. 5b, c), percentage of Ki67+ proliferating cells in the epidermis (Fig. 5d, e), and CD45+ immune cell and CD3+ T-cell infiltration (Fig. 5f, g). Meanwhile, fibroblast-conditional TNC knockout rescued hyperinnervation in psoriatic lesions as shown by intra-epidermal nerve fiber immunostaining (Fig. 5h, i) and whole-mount cutaneous nerve imaging (Fig. 5j). Collectively, these results showed that TNC deficiency in fibroblasts suppressed mouse psoriasiform skin inflammation and restrained excessive axonogenesis.
The expression of TNC is subtly regulated, being absent in normal tissues but prominent at sites of inflammation, trauma, and solid tumor stroma34,35,36,37,38. In the clinic, patients with psoriasis and other skin diseases are susceptible to the Koebner phenomenon, whereby new psoriatic lesions appear on previously unaffected skin as a secondary effect of trauma39,40. Tape stripping (TS) is a common way to induce mild cutaneous injury41,42 and is sufficient to drive Koebner lesion formation in transgenic mice that spontaneously develop psoriasis43. We designed a TS-pre-treated psoriasis mouse model to assess TNC expression following skin injury and its correlation with skin inflammation severity (Supplementary Fig. 5a). In this model, TS destroyed the skin barrier and increased trans-epidermal water loss (TEWL, Supplementary Fig. 5b). Pre-tape-stripped skin showed more severe skin inflammation following IMQ administration than skin that had not been subjected to TS, as measured by TEWL scores and skin acanthosis (Supplementary Fig. 5b–d). Immunoblotting results showed that TS alone led to a slight increase in TNC expression, while combining TS with IMQ stimulation further increased levels of TNC in the skin (Supplementary Fig. 5e). Notably, we found a positive correlation between skin acanthosis severity and TNC expression (Supplementary Fig. 5f), as well as between the expression of neuronal marker βIII tubulin and TNC (Supplementary Fig. 5g). These results demonstrated that TNC could be induced by trauma, while its expression level correlated with skin neurite content and inflammation severity.
TNC aggravates skin inflammation through peripheral nociceptors
To evaluate whether TNC aggravates psoriasiform skin inflammation through cutaneous nerves, we specifically ablated TRPV1-expressing peripheral nociceptors with resiniferatoxin (RTX)14,20 prior to IMQ application. RTX treatment blocked tail nociception to noxious heat stimuli (Fig. 6a), and strongly suppressed IMQ-induced skin acanthosis in both Tncfl/fl and Col1a2CreERTncfl/fl mice. Notably, exfoliation was commonly seen after denervation, suggesting the role of peripheral nerves in regulating epidermal integrity and function (Fig. 6b, c). Fibroblast-conditional TNC knockout significantly decreased CD3e+ T-cell especially γδT-cell infiltration compared with Tncfl/fl mice. Denervation dramatically reduced recruited γδT cells in skin lesions, which are comparable between denervated Tncfl/fl and Col1a2CreERTncfl/fl mice (Fig. 6d, e). The IL-17A-producing capacity of γδT cells in Col1a2CreERTncfl/fl mouse skin lesions slightly decreased but showed no significance compared with Tncfl/fl mice. Meanwhile, little effect of denervation on γδT-cell IL-17A production was observed (Fig. 6f, g). These results demonstrated that peripheral nociceptive sensory neurons served as pivotal downstream of TNC and upstream of epidermal hyperplasia and immune cell infiltration during psoriasiform skin inflammation.
Postsynaptic signaling pathways regulate pro-inflammatory dermal γδT cells
The IL-23/IL-17 immune axis is the dominant pathway that drives psoriasis pathology11,13. To understand how cutaneous nerve alterations regulate immune responses in mouse psoriasiform lesions, scRNA-seq analysis of CD45+ (encoded by Ptprc) immune cells in IMQ-induced mouse skin was performed (Fig. 7a). In accordance with previous studies44,45, our data demonstrated that γδT cells (Fig. 7b–d and Supplementary Fig. 6a, b), especially those in the dermis (Fig. 7e), were the primary source of type 17 pathogenic cytokines (Il17a, Il17f, and Il22). Furthermore, GO analysis showed that Il17a+ dermal T cells exhibited enrichment of postsynaptic pathways, relative to Il17a− counterparts (Fig. 7f), suggesting that they were regulated by neuronal signals during skin inflammation.
Several studies have revealed a type 17 immune response in skin following nociceptive sensory neuron activation14,20. However, direct interaction between pathogenic T cells and cutaneous nerves has not been demonstrated. Using Nav1.8tdTomatoIL-17AEGFP dual reporter mice, we visualized the spatial interaction between IL-17A+ T cells and cutaneous sensory nerves in mouse psoriasiform lesions. Numbers of IL-17A-EGFP+ T cells significantly increased as early as 3 days post-IMQ administration and further expanded on day 5, while EGFP signal was not detected in the skin of UT mice (Fig. 7g). The majority of IL-17A-EGFP+ T cells appeared in the papillary dermis on day 3 (Fig. 7h) and showed dispersive distribution on day 5 (Fig. 7g, right panel). Cutaneous nerves and T cells were considered to be in contact when tdTomato and EGFP signals converged in the 3-dimensional space (Fig. 7i and Supplementary Fig. 7). The in-contact ratio reached 50–60% on day 3 and declined slightly on day 5 in mouse psoriasiform lesions (Fig. 7j). To summarize, pro-inflammatory γδT cells were in spatial contact with cutaneous sensory nerves at an early phase of skin inflammation and were likely regulated by neuronal signals via neuro-immune synapses.
Hyperinnervation accompanied by elevated neurotransmitter levels is common in psoriatic lesions of patients and rodents15,46 and vital for local immunity driven by cutaneous nerves14,18,19,20. However, little is known about the local signals that promote innervation during skin inflammation. Here, we identified a subset of TNC-secreting papillary fibroblasts that emerged at the DEJ following skin irritation and promoted aberrant neurite outgrowth, facilitating the formation of pathogenic neuro-immune synapses and exacerbating skin inflammation (Supplementary Fig. 8).
TNC has been reported to be expressed throughout the skin basement membrane in psoriasis and several other hyperproliferative skin diseases, remaining abundant after clinical lesion remission;34,37,47 with its functions uncharacterized. Through lineage-tracing-based scRNA-seq and imaging, we identified that TNC is strictly secreted by a subset of inflammation-induced papillary fibroblasts with pro-axonogenesis transcriptional hallmarks. TncOE fibroblasts boosted neurite outgrowth of co-cultured neurons; and fibroblast-specific Tnc ablation in mice showed diminished TNC expression in the lesional papillary dermis, along with restrained cutaneous innervation and alleviative skin inflammation. We found Tnc itself defined a more specific pro-inflammatory fibroblast subset which shares similar localization and gene profiles with previous identified inflammatory dermal fibroblast subsets6,48. TNC is highly conserved amongst vertebrates49,50. The fibronectin type-III repeat domain of TNC promotes sensory axon regeneration51,52, while several integrins have been identified as TNC receptors on neuronal membranes28,29,30. Our results revealed that integrin α7β1 was strongly induced in DRG neurons upon IMQ stimulation, providing empirical evidence for interactions between Tnc+ fibroblasts and cutaneous nerves. Taken together, this inflammation-induced TNC+ papillary fibroblast subset may exert prolonged effects in psoriatic lesions through extracellular matrix remodeling and remain a risky niche for lesion recurrence.
The type 17 inflammatory response elicited by cutaneous sensory nerve activation has been attributed to the contact with dermal DCs, which further activate T17 cells through IL-23 secretion and initiate psoriatic lesion formation14,20. Dermal γδT cells, the pivotal source of type 17 cytokines in psoriasis, exhibit effector memory cell characteristics and are poised to produce IL-17 rapidly in the periphery53,54. Our results have provided further clues for pathogenic γδT-cell IL-17 production, showing that it may be directly regulated by neuronal signals; however, the precise mechanisms remain to be clarified. While sustained interaction and synapse formation between type 17 T cells and nerve fibers have been reported55,56, super-resolution in vivo imaging and spatial proteomics may help us to understand the delicate structure of neuro-immune synapses and identify the relevant transmitters.
In summary, our study identified an inflammation-induced Tnc+ papillary fibroblast subset, illuminating the stroma–neuron interactions underlying psoriasiform skin inflammation. Given their role in promoting axonogenesis and scaffolding neuro-immune synapses, Tnc+ fibroblasts and TNC may represent novel targets for the treatment of psoriasis and other inflammatory skin diseases.
Analysis studies involving human skin biopsies were reviewed and approved by the Ethics Committee of Shanghai General Hospital, China (No. 2018KY239). All donors provided written informed consent. For spatial transcriptomics analysis, skin biopsies were obtained from treatment-naïve patients with psoriasis and control healthy donors who had surgeries, operations were performed by the principles of the Declaration of Helsinki. For histologic and immunofluorescent imaging, paraffin sections of psoriatic lesions with the adjacent non-lesional region were provided by Dr. Z. Yao (Xinhua Hospital, Shanghai Jiao Tong University School of Medicine).
C57BL/6 mice, 6–8 weeks old, were purchased from Shanghai SLAC Laboratory Animal Co., Ltd (Shanghai, China). Col1a2-CreER57, Pdgfra-DreER23, R26R-rox-tdTomato58, R26R-tdTomato59 mouse line were previously described. Nav1.8-Cre mouse line60 was provided by Dr. Xiaoyang Cheng (Department of Anatomy, Histology, and Embryology, Shanghai Jiao Tong University School of Medicine, China). IL-17-GFP mouse line (MGI: J:184819) was provided by Dr. Zhinan Yin (The First Affiliated Hospital, Biomedical Translational Research Institute and Guangdong Province Key Laboratory of Molecular Immunology and Antibody Engineering, Jinan University, Guangzhou, China). Tnc-DreER was generated by homologous recombination using CRISPR-Cas9 technology. In short, a cDNA encoding P2A-DreER-WPRE-polyA was inserted after coding region of Tnc gene before 3′UTR. Tncfl/fl mouse line was purchase from Cyagen Biosciences Inc (cat: CKOCMP-21923-Tnc-B6J-VA). PdgfraDreER-tdTomato and TncDreER-tdTomato mice were generated by crossing the PdgfraDreER or TncDreER with the R26R-rox-tdTomato reporter line, respectively. Nav1.8-tdTomato mice were generated by crossing the Nav1.8-Cre with the R26R-tdTomato reporter line, and were further crossed with the IL-17-GFP line to obtain the Nav1.8tdTomatoIL-17GFP dual reporter mice. Col1a2CreERTncfl/fl mice were generated by crossing the Col1a2-CreER with the Tncfl/fl mouse line. Tamoxifen (Sigma, T5648) was dissolved in corn oil and injected intraperitoneally at indicated dosage. For PdgfraDreER-tdTomato, Col1a2CreERTncfl/fl and Tncfl/fl mice, tamoxifen was administered at 5-week-old for 5 consecutive days, and psoriasis mouse model was performed after 2-week washout period. For TncDreER-tdTomato mice, tamoxifen was simultaneously administered with IMQ to induce efficient labeling. The mice were bred and maintained under specific pathogen-free (SPF) conditions. Mice were housed in cages with five mice per cage and kept on in a regular 12 h:12 h light:dark cycle. The temperature was 22 ± 1 °C and humidity was 40–70%. Age-matched and sex-matched mice were used for all of the experiments approved by the National Institutes of Health Guide for the Care and Use of Laboratory Animals with the approval (SYXK-2003-0026) of the Scientific Investigation Board of Shanghai Jiao Tong University School of Medicine in Shanghai, China. To ameliorate any suffering that the mice observed throughout these experimental studies, the mice were euthanized by CO2 inhalation.
NIH-3T3 cells (ATCC, cat: CRL-1658) were cultured in DMEM/high glucose (HyClone, cat: SH30022.01) containing 10% fetal bovine serum (FBS, Gibco, cat: 10099141C). The medium was refreshed every 2 days and the cells were sub-cultured according to the cell fusion. Cells in passages 2–6 were used for subsequent experiments. For stable TncOE NIH-3T3 cell line construction, full-length cDNA encoding mouse Tnc was amplified from PCR-BluntII-TOPO plasmid (DNA Core of Shanghai Jiao Tong University School of Medicine) and then was inserted into the pReceiver-Lv215 vector (GeneCopreiaTM) to obtain Tnc-Lv215 overexpressing plasmid. Lentivirus particles were obtained by co-transfecting Tnc-Lv215 with packaging plasmids (pMD2.G and psPAX2) into HEK293-FT cells (Invitrogen, cat: R70007). NIH-3T3 cells were infected with concentrated Tnc-Lv215 lentivirus particles and then were sorted for GFP+ cells to acquire a stable TncOE NIH-3T3 cell line.
IMQ-induced mouse model of psoriasis
Seven-week-old PdgfraDreER-tdTomato mice, TncDreER-tdTomato mice, Col1a2CreERTncfl/fl mice, Tncfl/fl mice, and wild-type male C57BL/6 mice were maintained under SPF conditions and subjected to IMQ-induced mouse model. Male mice were used if no otherwise noted. Both male and female Col1a2CreERTncfl/fl and Tncfl/fl mice were used to test the effect of Tnc conditional knockout in IMQ-induced psoriasiform skin inflammation. To induce psoriasiform dermatitis, the mice were shaved and topically applied with 5% IMQ cream (MedShine, cat: 120503) for 6 consecutive days unless otherwise noted (62.5 mg for whole back skin, 35 mg for halfback skin, and 25 mg for each ear). On the indicated days, the skin thickness was measured with a micrometer (Schieblehre). For nociceptive sensory neuron denervation, RTX was injected subcutaneously into the back in three escalating doses (30 mg kg−1, 70 mg kg−1 and 100 mg kg−1) on consecutive days, and mice were allowed to rest for at least 4 weeks before IMQ treatment. For cutaneous injury, mouse shaved back skin was tape-stripped five times with Tegaderm (3 M™) for four consecutive days before IMQ administration. TEWL measurements were measured at room temperature (RT) and a humidity level of 50 ± 20% using a gpskin™ Barrier Light skin barrier function measurement device.
Single-cell RNA sequencing (scRNA-seq)
Fresh skin was placed in saline at 4 °C until further processing. The epidermis was separated from the dermis by Dispase II (Roche, cat: 04942078001) digestion overnight at 4 °C. Single-cell suspensions were generated by enzyme digestion and subjected to fluorescence-activated cell sorting (FACS) to exclude doublets, debris, and DAPI+ dead cells. For Pdgfra-lineage cells scRNA-seq, dermal CD45-tdTomato+ live cells were sorted from untreated or 7-day-IMQ-induced PdgfraDreER-tdTomato mouse skin; for immune cell scRNA-seq of the psoriasiform lesion, all epidermal live cells and dermal CD45+ live cells were sorted separately from 5-day-IMQ-induced C57BL/6 mouse skin. Sorted cells were centrifuged and resuspended in PBS containing 0.04% BSA. Chromium Single Cell 3′ v3 (10x Genomics) library preparation was conducted by the Sequencing Core at the Shanghai Institute of Immunology, according to the manufacturer’s instructions. The resulting libraries were sequenced with an Illumina HiSeq 4000 platform. Trimmed data were processed using the CellRanger (10x Genomics, version 3.0) and further filtered, processed, and analyzed using the Seurat package (version 3.1.2)61 with R (version 3.6.3).
Data processing and clustering with Seurat
Cells with fewer than 200 genes, more than 5000 genes, or more than 5% mitochondria content were removed. Doublets were predicted using DoubletFinder and removed62. The filtered data were normalized using a scaling factor of 10,000 to generate transcripts per kilobase million (TPM)-like values. Filtered samples were integrated using the FindIntegrationAnchors and IntegrateData functions with default parameters (dimensionality = 30). For the data shown in Fig. 2, the UT dataset of 1340 cells and IMQ dataset of 9312 cells were integrated; for the data shown in Fig. 7, epidermal and dermal datasets were extracted for Ptprc+ (CD45+) immune cells separately (632 cells for epidermal dataset and 3203 cells for dermal dataset), and then integrated for further analysis. The top 2000 most variable genes were selected using the FindVariableFeatures function and the genes were then used for principal component analysis (PCA). The number of PCs for clustering was selected based on the ‘Elbow plot’ of different datasets, and clustering was performed using the FindClusters function with a resolution selected for different datasets as described below. For the data are shown in Fig. 2, 20 PCs and a resolution of 0.5 were used. For the data are shown in Fig. 7, 20 PCs and a resolution of 0.2 were used.
Gene module enrichment analysis using Monocle
UT/IMQ-induced mouse Pdgfra-lineage cells scRNA-seq data and normal/psoriatic human skin fibroblasts extracted from the online database25 (GSE150672) were pre-clustered and labeled with Seurat according to the countermark genes, and were then converted as input for Monocle 363. To find genes that vary in datasets, the graph_test function was performed with default parameters (q < 0.05). Co-regulated genes were grouped into gene modules using the find_gene_modules function with default parameters (resolution = 1e-2). All genes in top-ranked gene modules were output for Gene Ontology analysis using Metascape64 (version 3.5).
Fresh skin biopsies from healthy donors and patients with psoriasis were embedded in optical cutting tissue (OCT) compound and snap-frozen on dry ice. Skin sections (10 μm thick) were prepared using a cryostat microtome and mounted onto Visium slides (Visium Spatial Tissue Optimization Slide & Reagent kit, 10x Genomics). After hematoxylin and eosin (H&E) staining, bright-field images were obtained. Optimized permeabilization (for 24 min) and tissue removal were conducted on the Visium slides. After reverse transcription, the barcoded cDNA was enzymatically released and collected. The cDNA libraries were then sequenced on an Illumina NextSeq platform. The data were processed with the SpaceRanger (10x Genomics, version 1.1.0) and mapped to the GRCh38-2020-A genome. Results were visualized using the Seurat package (version 3.1.5).
Single-cell suspensions were pelleted and resuspended in PBS with 2% FBS containing fluorophore-conjugated antibodies. Cells were initially stained with antibodies targeting cell surface proteins and with Live/dead Fixable Violet Dead Cell Stain Kit (Thermo Scientific, cat: L34964) for 30 min on ice and washed with PBS containing 2% FBS. For intracellular target staining, cells were then fixed and permeabilized using a Cytofix/Cytoperm kit (BD Biosciences, cat: 554714). For intracellular cytokine staining, single-cell suspensions were plated at 4 × 106 cells per well in a 96-well round bottom plate, resuspended in 1× cell stimulation cocktail (plus protein transport inhibitors, eBioscience, cat: 00-4975-03) and incubated at 37 °C for 4 h before antibody staining. Samples were run on a BD Fortessa and analyzed using FlowJo software (Treestar, version 10.6.2).
The following antibodies were used for mouse flow cytometry: Alexa Fluor® 700 anti-mouse CD45 [Clone: 30-F11] (BioLegend, cat: 103128), PE CF594 anti-mouse Cd3e [Clone: 145 2C11] (BD, cat: 562286), PE-Cyanine5 anti-mouse TCR gamma/delta [Clone: GL-3] (Invitrogen, cat: 15-5711-81), PE anti-mouse IL-17A [Clone: TC11-18H10.1] (BioLegend, cat: 506904).
Real-time quantitative PCR
Mouse skin specimens were snap-frozen in liquid nitrogen and pulverized. Total RNA was isolated using TRIzol Reagent (Invitrogen, cat: 15596026), quantified with a NanoDrop spectrophotometer, and reverse-transcribed into cDNA using an M-MLV First-Strand Synthesis Kit (Invitrogen, cat: C28025-021) with oligo(dT) primers. qPCR was conducted with the Hieff qPCR SYBR Green Master Mix (Yeasen Biotech, cat: 11202ES03) in a ViiA 7 Real-Time PCR system (Applied Biosystems). The relative expression of target genes was confirmed using the quantity of target gene/quantity of GAPDH. The following primers were used:
Gapdh forward: TCAATGAAGGGGTCGTTGAT,
Gapdh reverse: CGTCCCGTAGACAAAATGGT;
Coch forward: TTACCCCCTCGGAAACCTAC,
Coch reverse: ACACGTGGGTCTCGTTCAA;
Tnc forward: CACAACCCGTGAGTACCAGC,
Tnc reverse: AGAGGGTATGCTATAAGCCAGAA;
Pdgfra forward: AACGGAGGAGCTGCGGGGAA;
Pdgfra reverse: CCCATAGCTCCTGAGACCTTCTCCT;
Itga7 forward: CTGCTGTGGAAGCTGGGATTC,
Itga7 reverse: CTCCTCCTTGAACTGCTGTCG;
Itga8 forward: TGGCTGGGATTCCAAGAGGA,
Itga8 reverse: GTGCCCCGACCAATATGTCA;
Itga9 forward: CACAACCCGTGAGTACCAGC,
Itga9 reverse: GGTCTGCTTCGTAGTAGATGTTC;
Itgav forward: CCGTGGACTTCTTCGAGCC;
Itgav reverse: CTGTTGAATCAAACTCAATGGGC;
Itgb1 forward: ATGCCAAATCTTGCGGAGAAT,
Itgb1 reverse: TTTGCTGCGATTGGTGACATT;
Itgb3 forward: ACGAGACCATCCTGTGTGAGCT;
Itgb3 reverse: GCAAGTTGTCCTGGTGACTCGA.
Itgb6 forward: CAACTATCGGCCAACTCATTGA;
Itgb6 reverse: GCAGTTCTTCATAAGCGGAGAT.
Mouse skin specimens and cultured cells were lysed in radioimmunoprecipitation buffer (Beyotime Biotechnology, cat: P0013B) supplemented with protease (ApexBio Technology, cat: K1007) and phosphatase inhibitor cocktails (ApexBio Technology, cat: K1015). Proteins were then separated by 10% SDS-PAGE gel and transferred onto the polyvinylidene difluoride membrane (Millipore®). Anti-Cochlin (Beyotime, cat: AF6522, 1:1000), anti-Tenascin-C (Cell Signaling Technology, cat: 12221S, 1:1000), anti-βIII tubulin (Abcam, cat: ab78078, 1:1000), anti-Phospho-ERK1/2 (Thr202/Tyr204; Cell Signaling Technology, cat: 9101S, 1:1000), and anti-GAPDH (Proteintech, cat: 60004-1-Ig, 1:50000) primary antibodies were used. The signals were detected with an enhanced ECL chemiluminescent substrate kit (Yeasen Biotechnology, cat: 36222) and imaged with GE Amersham Imager 600 (GE Healthcare).
Histology and immunohistochemistry
Skin specimens were fixed in 4% paraformaldehyde and embedded in paraffin. For immunohistochemical staining, the sections (6 μm) were deparaffinized and washed in PBS. Antigen retrieval was performed by heating the sections in 10 mM sodium citrate buffer (pH = 6.0). The sections were washed in PBS after cooling, incubated in 3% hydrogen peroxide for 10 min at RT, and then washed again in PBS. The sections were blocked in blocking buffer (5% normal goat serum, 3% BSA, and 0.2% Triton X-100 in PBS) for 1 h at RT and stained in blocking buffer containing primary antibodies (anti-CD3, Servicebio Technology, cat: GB111337, 1: 1000; anti-CD45, Servicebio Technology, cat: GB113886, 1: 500) overnight at 4 °C. On the following day, the sections were warmed to RT for 1 h, washed three times in PBS, and stained with an HRP-polymer complex for 20 min, followed by incubation with a secondary antibody for 20 min. The sections were washed three times in PBS, developed with a DAB reagent (Peroxidase Substrate Kit, ZSGB-BIO, cat: ZLI-9018), and counterstained with hematoxylin. The sections were washed with tap water and then subsequent washes of increasing ethanol concentration for dehydration. Once mounted and air-dried, the slices were viewed under an Olympus BX53 microscope. To measure epidermal hyperplasia (acanthosis), images were taken after H&E staining, then the epidermis was outlined and measured with the lasso tool in Adobe Photoshop 2020. Pixels of relative areas of the epidermis were automatically calculated and converted into μm2 with the following formula: area (μm2) = 1.012 × pixels.
Cryosections (10 μm) of mouse skin were cut using a cryostat (Leica, CM1950) and fixed in ice-cold acetone for 15 min. Human and mouse paraffin sections (6 μm) were dewaxed and antigen unmasked. The slices were blocked with blocking buffer(5% normal goat serum, 3% BSA, and 0.2% Triton X-100 in PBS) for 1 h and stained with anti-Cochlin (Beyotime Biotechnology, cat: AF6522, 1:100), anti-Tenascin C (Abcam, cat: ab10893, 1:100), anti-Ki67 (Servicebio Technology, cat: GB121141, 1:500) and anti-β-III tubulin (Abcam, cat: ab78078, 1:1000; ab18207, 1:100) primary antibodies overnight at 4 °C. Afterward, the slices were rinsed three times in PBS and stained with relative secondary antibodies (all from Invitrogen) for 1 h at RT. Nuclei were stained with DAPI (BD Biosciences, cat: 564907) at RT for 5 min. After being washed in PBS, the slices were mounted (Beyotime Biotechnology, cat: P0126) and visualized under a confocal microscopy system (Leica, TSC SP8).
Imaging of bioluminescent reporter mice
Mice induced by IMQ for indicated days were imaged with an IVIS® Spectrum in vivo imaging system (PerkinElmer). Photon emission was detected with acquisition times ranging from 5 s to 3 min. The images were analyzed with Living Image software (PerkinElmer) by obtaining the average radiance per second per cm2 of specified regions of interest.
Whole-mount samples were prepared according to Rapiclear® 1.52 Solution protocol. Briefly, euthanized C57BL/6 mice were given cardiac perfusion with PBS. Skin samples were then isolated and fixed with a 4% paraformaldehyde solution. After 3 times PBS wash, samples were treated with 2% PBST (2% Triton X-100, 0.05% sodium azide in PBS) for 2 days at RT for permeabilization. Thereafter, samples were washed with PBS and kept in blocking buffer on an orbital shaker for 2 days at 4 °C, then stained with anti-βIII tubulin (Abcam, cat: ab78078, 1:1000) and anti-CD3e (Proteintech, cat: 17617-1-AP, 1:100) for 2 days at 4 °C. After incubation, samples were washed with washing buffer 3 times in RT and then overnight at 4 °C. Afterward, samples were then incubated with a secondary antibody (Invitrogen) for 2 days at 4 °C and washed with washing buffer 3 times in RT then overnight at 4 °C. After 3 times PBS wash, samples were stained with DAPI at RT for 1.5hrs. Then, after PBS wash, samples were cleared with Rapiclear® reagent (SunJin Lab, cat: RC152001) and mounted in iSpacer (SunJin Lab, cat: IS007) microchamber. For skin samples from bioluminescent reporter mice, antibody incubation and related wash steps are omitted. Images were acquired using a confocal microscopy system (Leica, TSC SP8) with HC PL APO CS2 40×/1.30 OIL objective, with a scan speed of 200 Hz and a step size of 1.0 μm. The X/Y acquiring format was set as 1024*1024, and Z-stack size was determined by specimen thickness respectively.
Mouse DRG neuron isolation and co-culture assay
DRG neurons were dissociated from DRGs of 6-week-old male C57BL/6 mice. Euthanized mice were given cardiac perfusion with PBS. DRGs were then dissociated and placed into an L-15 medium (Invitrogen, cat: 11415064) on ice for later digestion in DMEM containing 0.1 mg/ml DNase I (Sigma-Aldrich, cat: DN25), 0.4 mg/ml trypsin type I (Sigma-Aldrich, cat: T8003), and 1 mg/ml collagenase type IA (Sigma-Aldrich, cat: number C9891) at 37 °C for 35 min. Single-cell suspensions were plated on a glass-bottom cell culture dish (Nest Biotechnology, cat: 801001) or microfluidic chambers (Xona Microfluidics, cat: XC150) pre-seeded with monolayer NC/TncOE NIH-3T3 cells. After 3 h, the medium was replaced with a neurobasal medium (Gibco, cat: 21103049,) containing B-27 supplement (Gibco, cat: 17504044), 2 mM l-glutamine (Gibco, cat: 25030081), 10% fetal bovine serum (Gibco, cat: 10099141C) and 1% antibiotic‒antimycotic (Gibco, cat: 15240062,). After 48–72 h of co-culture or stimulation with recombinant TNC (R&D systems, cat: 3358-TC), ERK agonist butylhydroquinone (TBHQ, MCE, cat:HY-100489) or ERK inhibitor AZD6244 (Slleck, cat:S1008), immunofluorescent staining assays were performed. Briefly, neurons were washed with PBS twice and fixed with 4% paraformaldehyde for 15 min, followed by blocking with 3% BSA for 1 h at RT. Cells were then incubated with anti-βIII tubulin (Abcam, cat: ab78078, 1:1000) at 4 °C overnight and labeled with secondary antibodies (Invitrogen) for 1 h at RT. DAPI incubation at RT for 5 min was used for nuclei staining. After being washed in PBS, samples were mounted with a fluorescent mounting medium. Images were acquired using a confocal microscopy system (Leica, TSC SP8), and fields were randomly taken and calculated. Average neurite areas were quantified by Image J (version 1.54b) and normalized to cell numbers. Axon lengths were calculated in Imaris (Bitplane, version 9.0.1).
Quantification and statistical analysis
The data were analyzed using GraphPad Prism (version 8.0.2) and are presented as the mean ± SEM. A Student’s t-test was used to compare two conditions, and an analysis of variance (ANOVA) was used for multiple comparisons. A simple linear regression model was used to analyze the correlation between TNC expression and βIII tubulin expression. The probability values of <0.05 were considered statistically significant.
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Lynch, M. D. & Watt, F. M. Fibroblast heterogeneity: implications for human disease. J. Clin. Investig. 128, 26–35 (2018).
Driskell, R. R. et al. Distinct fibroblast lineages determine dermal architecture in skin development and repair. Nature 504, 277–281 (2013).
Driskell, R. R. & Watt, F. M. Understanding fibroblast heterogeneity in the skin. Trends Cell Biol. 25, 92–99 (2015).
Korosec, A. et al. Lineage identity and location within the dermis determine the function of papillary and reticular fibroblasts in human skin. J. Investig. Dermatol. 139, 342–351 (2019).
Zou, Z. et al. A single-cell transcriptomic atlas of human skin aging. Dev. Cell 56, 383–397 e388 (2021).
He, H. et al. Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis. J. Allergy Clin. Immunol. 145, 1615–1628 (2020).
Xu, Z. et al. Anatomically distinct fibroblast subsets determine skin autoimmune patterns. Nature 601, 118–124 (2022).
Mascharak, S. et al. Preventing Engrailed-1 activation in fibroblasts yields wound regeneration without scarring. Science 372, eaba2374 (2021).
Rinkevich, Y. et al. Skin fibrosis. Identification and isolation of a dermal lineage with intrinsic fibrogenic potential. Science 348, aaa2151 (2015).
Deng, C. C. et al. Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseases. Nat. Commun. 12, 3709 (2021).
Greb, J. E. et al. Psoriasis. Nat. Rev. Dis. Prim. 2, 16082 (2016).
Boehncke, W.-H. & Schön, M. P. Psoriasis. Lancet 386, 983–994 (2015).
Griffiths, C. E. M., Armstrong, A. W., Gudjonsson, J. E. & Barker, J. N. W. N. Psoriasis. Lancet 397, 1301–1315 (2021).
Riol-Blanco, L. et al. Nociceptive sensory neurons drive interleukin-23-mediated psoriasiform skin inflammation. Nature 510, 157–161 (2014).
Kim, T. W. et al. Clinical characteristics of pruritus in patients with scalp psoriasis and their relation with intraepidermal nerve fiber density. Ann. Dermatol. 26, 727–732 (2014).
Jiang, W. Y., Raychaudhuri, S. P. & Farber, E. M. Double-labeled immunofluorescence study of cutaneous nerves in psoriasis. Int. J. Dermatol. 37, 572–574 (1998).
Sakai, K. et al. Role of neurturin in spontaneous itch and increased nonpeptidergic intraepidermal fiber density in a mouse model of psoriasis. Pain 158, 2196–2202 (2017).
Ostrowski, S. M., Belkadi, A., Loyd, C. M., Diaconu, D. & Ward, N. L. Cutaneous denervation of psoriasiform mouse skin improves acanthosis and inflammation in a sensory neuropeptide-dependent manner. J. Investig. Dermatol. 131, 1530–1538 (2011).
Yin, Q. et al. Lidocaine ameliorates psoriasis by obstructing pathogenic CGRP signaling-mediated sensory neuron-dendritic cell communication. J. Investig. Dermatol. 142, 2173–2183.e6 (2022).
Cohen, J. A. et al. Cutaneous TRPV1(+) neurons trigger protective innate type 17 anticipatory immunity. Cell 178, 919–932 e914 (2019).
Siiskonen, H. & Harvima, I. Mast cells and sensory nerves contribute to neurogenic inflammation and pruritus in chronic skin inflammation. Front. Cell. Neurosci. 13, 422 (2019).
Lee, S. H., Tonello, R., Choi, Y., Jung, S. J. & Berta, T. Sensory neuron-expressed TRPC4 is a target for the relief of psoriasiform itch and skin inflammation in mice. J. Investig. Dermatol. 140, 2221–2229 e2226 (2020).
He, L. et al. Preexisting endothelial cells mediate cardiac neovascularization after injury. J. Clin. Investig. 127, 2968–2981 (2017).
van der Fits, L. et al. Imiquimod-induced psoriasis-like skin inflammation in mice is mediated via the IL-23/IL-17 axis. J. Immunol. 182, 5836–5845 (2009).
Hughes, T. K. et al. Second-strand synthesis-based massively parallel scRNA-seq reveals cellular states and molecular features of human inflammatory skin pathologies. Immunity 53, 878–894 e877 (2020).
Lumpkin, E. A. & Caterina, M. J. Mechanisms of sensory transduction in the skin. Nature 445, 858–865 (2007).
McMahon, S. B., La Russa, F. & Bennett, D. L. Crosstalk between the nociceptive and immune systems in host defence and disease. Nat. Rev. Neurosci. 16, 389–402 (2015).
Andrews, M. R. et al. Alpha9 integrin promotes neurite outgrowth on tenascin-C and enhances sensory axon regeneration. J. Neurosci. 29, 5546–5557 (2009).
Mercado, M. L. et al. Neurite outgrowth by the alternatively spliced region of human tenascin-C is mediated by neuronal alpha7beta1 integrin. J. Neurosci. 24, 238–247 (2004).
Varnum-Finney, B. et al. The integrin receptor α8β1 mediates interactions of embryonic chick motor and sensory neurons with tenascin-C. Neuron 14, 1213–1222 (1995).
Zheng, Y. et al. Deep sequencing of somatosensory neurons reveals molecular determinants of intrinsic physiological properties. Neuron 103, 598–616 e597 (2019).
Lei, W. L. et al. Laminin/beta1 integrin signal triggers axon formation by promoting microtubule assembly and stabilization. Cell Res. 22, 954–972 (2012).
Pasterkamp, R. J., Peschon, J. J., Spriggs, M. K. & Kolodkin, A. L. Semaphorin 7A promotes axon outgrowth through integrins and MAPKs. Nature 424, 398–405 (2003).
Schalkwijk, J. et al. Tenascin expression in hyperproliferative skin diseases. Br. J. Dermatol. 124, 13–20 (1991).
Joester, A. & Faissner, A. The structure and function of tenascins in the nervous system. Matrix Biol. 20, 13–22 (2001).
Oskarsson, T. et al. Breast cancer cells produce tenascin C as a metastatic niche component to colonize the lungs. Nat. Med. 17, 867–874 (2011).
Bhattacharyya, S. et al. Tenascin-C drives persistence of organ fibrosis. Nat. Commun. 7, 11703 (2016).
Zuliani-Alvarez, L. et al. Mapping tenascin-C interaction with toll-like receptor 4 reveals a new subset of endogenous inflammatory triggers. Nat. Commun. 8, 1595 (2017).
Murphy, M. J., Damsky, W. & Vesely, M. D. A pruritic psoriatic plaque develops at the donor site of an autologous skin graft: Koebner phenomenon. Lancet 398, 1836 (2021).
Tang, L., Liao, Y., Xu, J. & Li, C. Koebner phenomenon induced by cupping therapy in the unstable stage of psoriasis: a case report. Dermatol. Ther. 34, e14852 (2021).
Oyoshi, M. K. et al. Leukotriene B4-driven neutrophil recruitment to the skin is essential for allergic skin inflammation. Immunity 37, 747–758 (2012).
Guiducci, C. et al. Autoimmune skin inflammation is dependent on plasmacytoid dendritic cell activation by nucleic acids via TLR7 and TLR9. J. Exp. Med. 207, 2931–2942 (2010).
Sano, S. et al. Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model. Nat. Med. 11, 43–49 (2005).
Blake, K. J., Jiang, X. R. & Chiu, I. M. Neuronal regulation of immunity in the skin and lungs. Trends Neurosci. 42, 537–551 (2019).
Lowy, D. B., Makker, P. G. S. & Moalem-Taylor, G. Cutaneous neuroimmune interactions in peripheral neuropathic pain states. Front. Immunol. 12, 660203 (2021).
Zhang, X. & He, Y. The role of nociceptive neurons in the pathogenesis of psoriasis. Front. Immunol. 11, 1984 (2020).
Latijnhouwers, M. A. et al. Tenascin-C is not a useful marker for disease activity in psoriasis. Acta Dermato Venereol. 78, 331–334 (1998).
Qie, C. et al. Single-cell RNA-Seq reveals the transcriptional landscape and heterogeneity of skin macrophages in Vsir(-/-) murine psoriasis. Theranostics 10, 10483–10497 (2020).
Chiquet-Ehrismann, R., Mackie, E. J., Pearson, C. A. & Sakakura, T. Tenascin: an extracellular matrix protein involved in tissue interactions during fetal development and oncogenesis. Cell 47, 131–139 (1986).
Midwood, K. S., Chiquet, M., Tucker, R. P. & Orend, G. Tenascin-C at a glance. J. Cell Sci. 129, 4321–4327 (2016).
Berns, E. J. et al. A tenascin-C mimetic peptide amphiphile nanofiber gel promotes neurite outgrowth and cell migration of neurosphere-derived cells. Acta Biomater. 37, 50–58 (2016).
Meiners, S., Nur-e-Kamal, M. S. & Mercado, M. L. Mercado identification of a neurite outgrowth-promoting motif within the alternatively spliced region of human tenascin-C. J. Neurosci. 21, 7215–7225 (2001).
Roark, C. L., Simonian, P. L., Fontenot, A. P., Born, W. K. & O’Brien, R. L. gammadelta T cells: an important source of IL-17. Curr. Opin. Immunol. 20, 353–357 (2008).
Cai, Y. et al. Pivotal role of dermal IL-17-producing gammadelta T cells in skin inflammation. Immunity 35, 596–610 (2011).
Enamorado, M. et al. Immunity to the microbiota promotes sensory neuron regeneration. Cell 186, 607–620 e617 (2023).
Siffrin, V. et al. In vivo imaging of partially reversible th17 cell-induced neuronal dysfunction in the course of encephalomyelitis. Immunity 33, 424–436 (2010).
Tian, X. et al. Generation of a self-cleaved inducible Cre recombinase for efficient temporal genetic manipulation. EMBO J. 39, e102675 (2020).
Madisen, L. et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 13, 133–140 (2010).
Zhang, H. et al. Endocardium contributes to cardiac fat. Circ. Res. 118, 254–265 (2016).
Faber, C. G. et al. Gain-of-function Nav1.8 mutations in painful neuropathy. Proc. Natl Acad. Sci. USA 109, 19444–19449 (2012).
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411–420 (2018).
McGinnis, C. S., Murrow, L. M. & Gartner, Z. J. DoubletFinder: doublet detection in single-cell RNA sequencing data using artificial nearest neighbors. Cell Syst. 8, 329–337 e324 (2019).
Trapnell, C. et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol. 32, 381–386 (2014).
Zhou, Y. et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat. Commun. 10, 1523 (2019).
Edgar, R., Domrachev, M. & Lash, A. E. Gene expression omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 30, 207–210 (2002).
This work was supported by the National Natural Science Foundation of China Original Exploration Program (No. 82050009), the National Key Research and Development Program of the Ministry of Science and Technology (2020YFA0112900), the National Science Fund of China (No. 81930088, 82070509 [Y.S.], 82101909 [H.Z.], 82103719 [S.D.] and 20ZR1447400 [Q.L.]), Clinical Research Plan of Shanghai Shenkang Hospital Development Center (SHDC2020CR3061B), SJTU Trans-med Awards Research (20210102), Integrated innovation fund of Shanghai Jiao Tong University (2021JCPT04), Experimental Animal Research Project of “Scientific and Technological Innovation Action Plan” (22140903100) and Innovative Research Team of High-Level Local Universities in Shanghai [by Honglin W. if not otherwise noted]. The authors would like to thank C. Gao, M. Zhang, L. Ding, and L. Chen (Sequencing Core of Shanghai Institute of Immunology) for single-cell cDNA library generation; J. Tang and M. Han (SIBCB-CAS) for help with importing PdgfraDreER-tdTomato, Col1a2CreER and TncDreER mice; J. Chen and Z. Yao (Department of Dermatology, Xinhua Hospital) for providing human psoriatic skin paraffin sections.
The authors declare no competing interest.
Peer review information
Nature Communications thanks and the other anonymous reviewer(s) for their contribution to the peer review of this work. Peer review reports are available.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Cai, X., Han, M., Lou, F. et al. Tenascin C+ papillary fibroblasts facilitate neuro-immune interaction in a mouse model of psoriasis. Nat Commun 14, 2004 (2023). https://doi.org/10.1038/s41467-023-37798-x
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.